Healthcare leaders have spent years trying to figure out how to manage the rising cost of aging, especially when it comes to ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...
A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?
Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...
In a recent study published in PNAS Nexus, researchers provide new insights into human cognition by prioritizing interpretability in predictive modeling of intelligence from brain connectivity, rather ...
A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a “brain tsunami.” UC’s Jed Hartings, PhD, is ...
A multi-institutional team of researchers led by Virginia Tech's Fralin Biomedical Research Institute at VTC has for the ...
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